About this role

Design, develop, and optimize ETL pipelines for data ingestion, transformation, and storage.
Implement and manage data workflows on GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
Write efficient SQL queries for data extraction, transformation, and analysis.
Develop reusable scripts and automation using Python for data processing and integration.
Ensure data quality, integrity, and security across all systems.
Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver solutions.
Monitor and troubleshoot data pipelines to ensure high availability and performance.

Bachelor’s degree in Computer Science, Information Technology, or related field.
3+ years of experience in data engineering or related roles.
Strong proficiency in SQL and relational database concepts.
Hands-on experience with GCP services (BigQuery, Dataflow, Cloud Storage, Pub/Sub).
Advanced programming skills in Python for data manipulation and automation.
Familiarity with data modeling, ETL frameworks, and workflow orchestration tools (e.g., Airflow).
Excellent communication and collaboration skills to work with technical and non-technical teams.

Application Engineer

Key skills